# Weekly Google Trends report for Google Sheets

**Use case:** 

Weekly interest for three terms over the past 12 months, one row per term and week, ready for a chart. Schedule it weekly and add the Google Sheets integration in replace mode to keep a sheet up to date.

## Input

```json
{
  "searchTerms": [
    "cold brew",
    "iced coffee",
    "matcha"
  ],
  "dataTypes": [
    "interest_over_time"
  ],
  "geo": "US",
  "timeframe": "today 12-m",
  "trendingGeo": "US",
  "category": 0,
  "regionResolution": "COUNTRY",
  "language": "en-US",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "dataType": {
    "label": "Result type"
  },
  "keyword": {
    "label": "Search term"
  },
  "geo": {
    "label": "Search region"
  },
  "date": {
    "label": "Source date label"
  },
  "value": {
    "label": "Source value"
  },
  "relatedQuery": {
    "label": "Related search query"
  },
  "topicTitle": {
    "label": "Related topic"
  },
  "geoName": {
    "label": "Region name"
  },
  "kind": {
    "label": "Top or rising"
  },
  "query": {
    "label": "Trending search"
  },
  "rank": {
    "label": "Feed position"
  },
  "approxTraffic": {
    "label": "Approximate traffic label"
  },
  "timeframe": {
    "label": "Requested time range"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Trends Scraper API for Interest Over Time Actor is ready to run with the inputs already set for "Weekly Google Trends report for Google Sheets". [Sign up or log in](https://console.apify.com/create-task-from-example/STLtoPTVgmvGFQY19) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Weekly Google Trends report for Google Sheets" task

The Google Trends Scraper API for Interest Over Time Actor will start running based on the input automatically. You can also change all the input fields, like search terms, results to collect, and more, to match your specific use case.

### 3. Receive the "Weekly Google Trends report for Google Sheets" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as result type, search term, search region, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Weekly Google Trends report for Google Sheets" task via API](https://apify.com/cleanscrape/google-trends-scraper.md).

## About this Actor

This example demonstrates how to use [Google Trends Scraper API for Interest Over Time](https://apify.com/cleanscrape/google-trends-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/cleanscrape/google-trends-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/cleanscrape/google-trends-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).